56
Jane Elith
endemics in Tasmania, Spyridium microphyllum (F Muell ex Reisseck) Druce and
Spyridium obcordatum (Hook) WM Curtis. PhD thesis, University of Tasmania, Hobart,
Tasmania, Australia
Corsi F, Dupr` e E, Boitani L (1999) A large-scale model of wolf distribution in Italy for
conservation planning. Conservation Biology 13:150–159
Crance JH (1987) Guidelines for using the Delphi technique to develop habitat suitability
index curves. U.S. Fish and Wildlife Service, Biological Report 82 10134. Department of
the Interior, Washington, DC
CRES (1999) ANUCLIM documentation. http://cres.anu.edu.au/software/anuclim.html
DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the area under two or
more receiver operating characteristic curves: a non-parametric approach. Biometrics
44:837–845
Elith J, Burgman MA (in review) Predictions and their validation: rare plants in the Central
Highlands, Victoria, Australia. In: Scott JM, Heglund P, Wall W, Samson F, Haufler J.
(eds) Proceedings of “Predicting Species Occurrences: Issues of Scale and Accuracy”
conference, Snowbird, Utah, USA
Elith J, Burgman MA, Minchin P (1998) Improved protection strategies for rare plants:
consultancy report for Environment Australia Project FB-NP22. Environment Australia,
Canberra, Australia
ERIN (1995) http://www.erin.gov.au/general/biodiv_model/ERIN/GARP/home.html. Environment Australia
Ferrier S, Watson G (1996) An evaluation of the effectiveness of environmental surrogates
and modelling techniques in predicting the distribution of biological diversity. Consultancy report prepared by the NSW National Parks and Wildlife Service for Department
of Environment, Sport and Territories, Australia, Canberrra, Australia
Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in
conservation presence/absence models. Environmental Conservation 24:38– 49
Gaston KJ (1994) Rarity. Chapman and Hall, London
Gong P, Pu R, Chen J (1996) Mapping ecological land systems and classification uncertainties from digital elevation and forest-cover data using neural networks. Photogrammetric
Engineering and Remote Sensing 62:1249–1260
Gray PA, Cameron D, Kirkham I (1996) Wildlife habitat evaluation in forested ecosystems:
some examples from Canada and the United States. In: DeGraaf RM, Miller RI (eds)
Conservation of faunal diversity in forested landscapes. Chapman and Hall, New York,
pp 407–533
Guisan A (1998) Predicting the potential distribution of plant species in an alpine environment. Journal of Vegetation Science 9:65–74
Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating
characterisitc (ROC) curve. Radiology 143:29–36
Harrell FE, Lee KL (1984) Regression modelling strategies for improved prognostic prediction. Statistics in Medicine 3:143–152
Harrell FE, Lee KL, Mark DB (1996) Multivariate prognostic models: issues in developing
models, evaluating assumptions and adequacy, and measuring and reducing errors. Statistics in Medicine 15:361–387
Hastie TJ, Tibshirani RJ (1990) Generalized additive models. Chapman and Hall, London
Hosmer DW, Lemeshow S (1989) Applied logistic regression. John Wiley and Sons, New
York
Keith DA, Bedward M (1999) Native vegetation of the South East Forests region, Eden,
New South Wales. Cunninghamia 6:1–218
Jane Elith
endemics in Tasmania, Spyridium microphyllum (F Muell ex Reisseck) Druce and
Spyridium obcordatum (Hook) WM Curtis. PhD thesis, University of Tasmania, Hobart,
Tasmania, Australia
Corsi F, Dupr` e E, Boitani L (1999) A large-scale model of wolf distribution in Italy for
conservation planning. Conservation Biology 13:150–159
Crance JH (1987) Guidelines for using the Delphi technique to develop habitat suitability
index curves. U.S. Fish and Wildlife Service, Biological Report 82 10134. Department of
the Interior, Washington, DC
CRES (1999) ANUCLIM documentation. http://cres.anu.edu.au/software/anuclim.html
DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the area under two or
more receiver operating characteristic curves: a non-parametric approach. Biometrics
44:837–845
Elith J, Burgman MA (in review) Predictions and their validation: rare plants in the Central
Highlands, Victoria, Australia. In: Scott JM, Heglund P, Wall W, Samson F, Haufler J.
(eds) Proceedings of “Predicting Species Occurrences: Issues of Scale and Accuracy”
conference, Snowbird, Utah, USA
Elith J, Burgman MA, Minchin P (1998) Improved protection strategies for rare plants:
consultancy report for Environment Australia Project FB-NP22. Environment Australia,
Canberra, Australia
ERIN (1995) http://www.erin.gov.au/general/biodiv_model/ERIN/GARP/home.html. Environment Australia
Ferrier S, Watson G (1996) An evaluation of the effectiveness of environmental surrogates
and modelling techniques in predicting the distribution of biological diversity. Consultancy report prepared by the NSW National Parks and Wildlife Service for Department
of Environment, Sport and Territories, Australia, Canberrra, Australia
Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in
conservation presence/absence models. Environmental Conservation 24:38– 49
Gaston KJ (1994) Rarity. Chapman and Hall, London
Gong P, Pu R, Chen J (1996) Mapping ecological land systems and classification uncertainties from digital elevation and forest-cover data using neural networks. Photogrammetric
Engineering and Remote Sensing 62:1249–1260
Gray PA, Cameron D, Kirkham I (1996) Wildlife habitat evaluation in forested ecosystems:
some examples from Canada and the United States. In: DeGraaf RM, Miller RI (eds)
Conservation of faunal diversity in forested landscapes. Chapman and Hall, New York,
pp 407–533
Guisan A (1998) Predicting the potential distribution of plant species in an alpine environment. Journal of Vegetation Science 9:65–74
Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating
characterisitc (ROC) curve. Radiology 143:29–36
Harrell FE, Lee KL (1984) Regression modelling strategies for improved prognostic prediction. Statistics in Medicine 3:143–152
Harrell FE, Lee KL, Mark DB (1996) Multivariate prognostic models: issues in developing
models, evaluating assumptions and adequacy, and measuring and reducing errors. Statistics in Medicine 15:361–387
Hastie TJ, Tibshirani RJ (1990) Generalized additive models. Chapman and Hall, London
Hosmer DW, Lemeshow S (1989) Applied logistic regression. John Wiley and Sons, New
York
Keith DA, Bedward M (1999) Native vegetation of the South East Forests region, Eden,
New South Wales. Cunninghamia 6:1–218